Papers from the AAAI Spring Symposium

The organizers of this symposium were interested in combining the theory of quantum mechanics and AI. Quantum mechanics (QM) is emerging from physics into nonquantum domains such as human language, cognition, information retrieval, biology, political science, organizations, and AI. The QM model has already been applied to the social interaction; for example, quantum game theory.

This symposium brought together researchers interested in: (1) application of QM inspired methods to address or to more efficiently solve AI problems in non-quantum domains; (2) application of AI to quantum domains, such as implementation of AI techniques on a quantum computer; or (3) use of QM with AI to address previously unsolved problems in other fields.

The organizers were also interested in whether a QM approach to AI can be supported by field results in a specific content area; for example, nonmonotonic reasoning (NMR), or organizational decision-making.